Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.13339.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:39:26.878890Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:56:15.167609Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation b09b16eb-50f3-40d1-8d74-e1dd01e07034 · inbound
XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc9bcd51-9b6a-45ef-9940-0bba359c9a5f · inbound
A Survey on Large Language Models for Mathematical Reasoning Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 91
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 870e82b6-3cad-420d-98c5-439f1251ea03 · inbound
Logic-Guided Socially-aware Robot Navigation World Model Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e9470a3-4492-470a-91a1-62fd78115aff · inbound
Can we trust LLM Self-Explanations for Entity Resolution? Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.